
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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Airlock Digital delivers an easy-to-manage and scalable application control solution to protect endpoints with confidence. Built by cybersecurity professionals and trusted by organizations worldwide, Airlock Digital enforces a Deny by Default security posture to block all untrusted code, including unknown applications, unwanted scripts, malware, and ransomware.
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Gravitee
Gravitee is an enterprise platform for managing AI agents, APIs, event streams, and model interactions through a centralized security and governance layer. Its AI Gateway provides three primary entry points through an LLM Proxy, MCP Proxy, and A2A Proxy for governing model access, agent tools, and agent-to-agent communication. The platform can assign and verify agent identities, enforce least-privilege policies, and control which tools, services, and MCP servers individual agents are permitted to use. Security controls include authentication, authorization, PII filtering, API key protection, rate limiting, spending limits, and complete audit trails for AI activity. Gravitee also tracks LLM usage and costs so organizations can understand token consumption, control unplanned spending, and attribute AI usage across users and agents. Its observability features help teams monitor agent behavior, dependencies, traffic flows, and potentially risky or ungoverned interactions. The platform extends these capabilities to conventional APIs and event infrastructure, including REST, GraphQL, gRPC, Kafka, and other enterprise integration technologies. Organizations can also productize internal APIs, MCP tools, workflows, and event streams so they can be securely reused by developers, partners, and AI agents. Gravitee is intended for enterprises, platform teams, security organizations, and AI engineering groups that need a common management layer for agent security, API governance, observability, and AI infrastructure.
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Enkrypt AI
Enkrypt AI is an AI security and compliance platform built to protect generative AI applications, autonomous agents, models, data, and AI infrastructure. It provides security agents and controls for detecting vulnerabilities, preventing threats, continuously monitoring AI systems, and automating compliance processes. Enkrypt AI's red teaming capabilities dynamically generate use-case-specific attacks that adapt during testing to uncover security, safety, and brand risks that static evaluations may miss. The platform addresses threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, policy violations, hallucinations, model drift, bias, toxic content, deceptive behavior, and unmonitored agent actions. Real-time guardrails inspect AI interactions and can stop threats as they occur while continuously adapting based on prompts and observed activity. Monitoring capabilities provide ongoing visibility into AI risk and compliance so organizations can identify issues, track protection effectiveness, and maintain evidence for audits. Enkrypt AI can translate internal organizational policies and external regulatory requirements into automated guardrails to reduce manual compliance work. Its product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway, with solutions for customer-facing agents, frontier models, third-party AI risk, AI compliance, MCP security, and secure AI development. The company also maintains an LLM Safety Leaderboard that continuously red teams and benchmarks more than 200 AI models to help organizations evaluate model security and safety.
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